Masters Theses
Abstract
"There is often some uncertainty as to the exact number of predictors to include in the specification of the linear model when the theory of regression analysis is applied to specific data. To aid the experimenter in defining the correct number of predictors, a bias function that estimates the deviation of a linear model from the true model has been defined.
The writer has derived an accurate, economical, numerical method for calculating the bias function associated with an incompletely specified linear model and has tabulated bias function coefficients for a reasonable number of doubtful predictors"--Abstract, page ii.
Advisor(s)
Lee, Ralph E., 1921-2010
Committee Member(s)
Winters, William K.
Bayless, Jerry R.
Zenor, Hughes M., 1908-2001
Department(s)
Mathematics and Statistics
Degree Name
M.S. in Applied Mathematics
Publisher
University of Missouri at Rolla
Publication Date
1964
Pagination
v, 45 pages
Note about bibliography
Includes bibliographical references (page 44).
Rights
© 1964 Harry Kerry Edwards, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Thesis Number
T 1639
Print OCLC #
5959687
Link to Catalog Record
Recommended Citation
Edwards, Harry Kerry, "Estimation and tabulation of bias coefficients for regression analysis in incompletely specified linear models." (1964). Masters Theses. 5644.
https://scholarsmine.mst.edu/masters_theses/5644
